Name
Abstract | ||
|---|---|---|
To eliminate the influence of subjective factors when evaluating the quality of website, this paper proposes a novel system using link analysis. In the proposed system, the indexes are classified into two categories: research index and contrast index. Principal component analysis (PCA) and fuzzy comprehensive evaluation method are used to analyze them, respectively. After analyzing, we can find the subjective factors by computing the consistency of indexes. In the evaluation of websites, we ignore these subjective factors to improve the authority of evaluation results. We conduct a large number of experiments on a group of websites. The experimental results show that the proposed system is effective. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TrustCom.2012.45 | TrustCom |
Keywords | Field | DocType |
principal component analysis,link analysis,novel system,evaluation result,proposed system,research index,subjective factor,contrast index,fuzzy comprehensive evaluation method,pca,vectors,internet,indexes,fuzzy set theory,data analysis,data acquisition | Data mining,Information retrieval,Computer science,Link analysis,Fuzzy logic,Fuzzy set,Principal component analysis | Conference |
Citations | PageRank | References |
1 | 0.35 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoqiang Li | 1 | 29 | 8.24 |
| Yun Mi | 2 | 1 | 0.35 |
| Yingwei Jin | 3 | 61 | 13.62 |
| Heng Qi | 4 | 218 | 30.45 |
| Zhi-yang Li | 5 | 146 | 26.37 |